Tech

Python in 30 Days: Day 29 – Building an API

Day 29: Building API

In this section, we will cover a RESTful API that uses HTTP request methods to GET, PUT, POST, and DELETE data.

RESTful API is an application program interface (API) that uses HTTP requests to GET, PUT, POST, and DELETE data. In the previous sections, we have learned about python, flask, and mongoDB. We will use the knowledge we acquire to develop a RESTful API using python flask and mongoDB. Every application that has a CRUD(Create, Read, Update, Delete) operation has an API to create data, to get data, to update data, or to delete data from the database.

The browser can handle only get request. Therefore, we have to have a tool that can help us to handle all request methods(GET, POST, PUT, DELETE).

Examples of API

Postman is a very popular tool when it comes to API development. So, if you like to do this section you need to download postman. An alternative of Postman is Insomnia.

Structure of an API

An API endpoint is a URL that can help to retrieve, create, update, or delete a resource. The structure looks like this: Example: https://api.twitter.com/1.1/lists/members.json Returns the members of the specified list. Private list members will only be shown if the authenticated user owns the specified list. The name of the company name followed by the version followed by the purpose of the API. The methods: HTTP methods & URLs

The API uses the following HTTP methods for object manipulation:

GET        Used for object retrieval
POST       Used for object creation and object actions
PUT        Used for object update
DELETE     Used for object deletion

Let us build an API that collects information about 30DaysOfPython students. We will collect the name, country, city, date of birth, skills and bio.

To implement this API, we will use:

  • Postman
  • Python
  • Flask
  • MongoDB

Retrieving data using get

In this step, let us use dummy data and return it as a json. To return it as json, will use json module and Response module.

# let's import the flask

from flask import Flask,  Response
import json

app = Flask(__name__)

@app.route('/api/v1.0/students', methods = ['GET'])
def students ():
    student_list = [
        {
            'name':'Tech',
            'country':'Finland',
            'city':'Helsinki',
            'skills':['HTML', 'CSS','JavaScript','Python']
        },
        {
            'name':'David',
            'country':'UK',
            'city':'London',
            'skills':['Python','MongoDB']
        },
        {
            'name':'John',
            'country':'Sweden',
            'city':'Stockholm',
            'skills':['Java','C#']
        }
    ]
    return Response(json.dumps(student_list), mimetype='application/json')


if __name__ == '__main__':
    # for deployment
    # to make it work for both production and development
    port = int(os.environ.get("PORT", 5000))
    app.run(debug=True, host='0.0.0.0', port=port)

When you request the http://localhost:5000/api/v1.0/students url on the browser you will get this:

When you request the http://localhost:5000/api/v1.0/students url on the browser you will get this:

Instead of displaying dummy data let us connect the Flask application with MongoDB and get data from MongoDB database.

# let's import the flask

from flask import Flask,  Response
import json
import pymongo


app = Flask(__name__)

#
MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority'
client = pymongo.MongoClient(MONGODB_URI)
db = client['thirty_days_of_python'] # accessing the database

@app.route('/api/v1.0/students', methods = ['GET'])
def students ():

    return Response(json.dumps(student), mimetype='application/json')


if __name__ == '__main__':
    # for deployment
    # to make it work for both production and development
    port = int(os.environ.get("PORT", 5000))
    app.run(debug=True, host='0.0.0.0', port=port)

By connecting the flask, we can fetch student collection data from the thirty_days_of_python database.

[
    {
        "_id": {
            "$oid": "5df68a21f106fe2d315bbc8b"
        },
        "name": "Asabeneh",
        "country": "Finland",
        "city": "Helsinki",
        "age": 38
    },
    {
        "_id": {
            "$oid": "5df68a23f106fe2d315bbc8c"
        },
        "name": "David",
        "country": "UK",
        "city": "London",
        "age": 34
    },
    {
        "_id": {
            "$oid": "5df68a23f106fe2d315bbc8e"
        },
        "name": "Sami",
        "country": "Finland",
        "city": "Helsinki",
        "age": 25
    }
]

Getting a document by ID

We can access a single document using an ID, let’s access Asabeneh using his ID. http://localhost:5000/api/v1.0/students/5df68a21f106fe2d315bbc8b

# let's import the flask

from flask import Flask,  Response
import json
from bson.objectid import ObjectId
import json
from bson.json_util import dumps
import pymongo


app = Flask(__name__)

#
MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority'
client = pymongo.MongoClient(MONGODB_URI)
db = client['thirty_days_of_python'] # accessing the database

@app.route('/api/v1.0/students', methods = ['GET'])
def students ():

    return Response(json.dumps(student), mimetype='application/json')
@app.route('/api/v1.0/students/<id>', methods = ['GET'])
def single_student (id):
    student = db.students.find({'_id':ObjectId(id)})
    return Response(dumps(student), mimetype='application/json')

if __name__ == '__main__':
    # for deployment
    # to make it work for both production and development
    port = int(os.environ.get("PORT", 5000))
    app.run(debug=True, host='0.0.0.0', port=port)
[
    {
        "_id": {
            "$oid": "5df68a21f106fe2d315bbc8b"
        },
        "name": "Asabeneh",
        "country": "Finland",
        "city": "Helsinki",
        "age": 38
    }
]

Creating data using POST

We use the POST request method to create data

# let's import the flask

from flask import Flask,  Response
import json
from bson.objectid import ObjectId
import json
from bson.json_util import dumps
import pymongo
from datetime import datetime


app = Flask(__name__)

#
MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority'
client = pymongo.MongoClient(MONGODB_URI)
db = client['thirty_days_of_python'] # accessing the database

@app.route('/api/v1.0/students', methods = ['GET'])
def students ():

    return Response(json.dumps(student), mimetype='application/json')
@app.route('/api/v1.0/students/<id>', methods = ['GET'])
def single_student (id):
    student = db.students.find({'_id':ObjectId(id)})
    return Response(dumps(student), mimetype='application/json')
@app.route('/api/v1.0/students', methods = ['POST'])
def create_student ():
    name = request.form['name']
    country = request.form['country']
    city = request.form['city']
    skills = request.form['skills'].split(', ')
    bio = request.form['bio']
    birthyear = request.form['birthyear']
    created_at = datetime.now()
    student = {
        'name': name,
        'country': country,
        'city': city,
        'birthyear': birthyear,
        'skills': skills,
        'bio': bio,
        'created_at': created_at

    }
    db.students.insert_one(student)
    return ;
def update_student (id):
if __name__ == '__main__':
    # for deployment
    # to make it work for both production and development
    port = int(os.environ.get("PORT", 5000))
    app.run(debug=True, host='0.0.0.0', port=port)

Updating using PUT

# let's import the flask

from flask import Flask,  Response
import json
from bson.objectid import ObjectId
import json
from bson.json_util import dumps
import pymongo
from datetime import datetime


app = Flask(__name__)

#
MONGODB_URI='mongodb+srv://tech:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority'
client = pymongo.MongoClient(MONGODB_URI)
db = client['thirty_days_of_python'] # accessing the database

@app.route('/api/v1.0/students', methods = ['GET'])
def students ():

    return Response(json.dumps(student), mimetype='application/json')
@app.route('/api/v1.0/students/<id>', methods = ['GET'])
def single_student (id):
    student = db.students.find({'_id':ObjectId(id)})
    return Response(dumps(student), mimetype='application/json')
@app.route('/api/v1.0/students', methods = ['POST'])
def create_student ():
    name = request.form['name']
    country = request.form['country']
    city = request.form['city']
    skills = request.form['skills'].split(', ')
    bio = request.form['bio']
    birthyear = request.form['birthyear']
    created_at = datetime.now()
    student = {
        'name': name,
        'country': country,
        'city': city,
        'birthyear': birthyear,
        'skills': skills,
        'bio': bio,
        'created_at': created_at

    }
    db.students.insert_one(student)
    return
@app.route('/api/v1.0/students/<id>', methods = ['PUT']) # this decorator create the home route
def update_student (id):
    query = {"_id":ObjectId(id)}
    name = request.form['name']
    country = request.form['country']
    city = request.form['city']
    skills = request.form['skills'].split(', ')
    bio = request.form['bio']
    birthyear = request.form['birthyear']
    created_at = datetime.now()
    student = {
        'name': name,
        'country': country,
        'city': city,
        'birthyear': birthyear,
        'skills': skills,
        'bio': bio,
        'created_at': created_at

    }
    db.students.update_one(query, student)
    # return Response(dumps({"result":"a new student has been created"}), mimetype='application/json')
    return
def update_student (id):
if __name__ == '__main__':
    # for deployment
    # to make it work for both production and development
    port = int(os.environ.get("PORT", 5000))
    app.run(debug=True, host='0.0.0.0', port=port)

Deleting a document using Delete

# let's import the flask

from flask import Flask,  Response
import json
from bson.objectid import ObjectId
import json
from bson.json_util import dumps
import pymongo
from datetime import datetime


app = Flask(__name__)

#
MONGODB_URI='mongodb+srv://tech:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority'
client = pymongo.MongoClient(MONGODB_URI)
db = client['thirty_days_of_python'] # accessing the database

@app.route('/api/v1.0/students', methods = ['GET'])
def students ():

    return Response(json.dumps(student), mimetype='application/json')
@app.route('/api/v1.0/students/<id>', methods = ['GET'])
def single_student (id):
    student = db.students.find({'_id':ObjectId(id)})
    return Response(dumps(student), mimetype='application/json')
@app.route('/api/v1.0/students', methods = ['POST'])
def create_student ():
    name = request.form['name']
    country = request.form['country']
    city = request.form['city']
    skills = request.form['skills'].split(', ')
    bio = request.form['bio']
    birthyear = request.form['birthyear']
    created_at = datetime.now()
    student = {
        'name': name,
        'country': country,
        'city': city,
        'birthyear': birthyear,
        'skills': skills,
        'bio': bio,
        'created_at': created_at

    }
    db.students.insert_one(student)
    return
@app.route('/api/v1.0/students/<id>', methods = ['PUT']) # this decorator create the home route
def update_student (id):
    query = {"_id":ObjectId(id)}
    name = request.form['name']
    country = request.form['country']
    city = request.form['city']
    skills = request.form['skills'].split(', ')
    bio = request.form['bio']
    birthyear = request.form['birthyear']
    created_at = datetime.now()
    student = {
        'name': name,
        'country': country,
        'city': city,
        'birthyear': birthyear,
        'skills': skills,
        'bio': bio,
        'created_at': created_at

    }
    db.students.update_one(query, student)
    # return Response(dumps({"result":"a new student has been created"}), mimetype='application/json')
    return
@app.route('/api/v1.0/students/<id>', methods = ['PUT']) # this decorator create the home route
def update_student (id):
    query = {"_id":ObjectId(id)}
    name = request.form['name']
    country = request.form['country']
    city = request.form['city']
    skills = request.form['skills'].split(', ')
    bio = request.form['bio']
    birthyear = request.form['birthyear']
    created_at = datetime.now()
    student = {
        'name': name,
        'country': country,
        'city': city,
        'birthyear': birthyear,
        'skills': skills,
        'bio': bio,
        'created_at': created_at

    }
    db.students.update_one(query, student)
    # return Response(dumps({"result":"a new student has been created"}), mimetype='application/json')
    return ;
@app.route('/api/v1.0/students/<id>', methods = ['DELETE'])
def delete_student (id):
    db.students.delete_one({"_id":ObjectId(id)})
    return
if __name__ == '__main__':
    # for deployment
    # to make it work for both production and development
    port = int(os.environ.get("PORT", 5000))
    app.run(debug=True, host='0.0.0.0', port=port)

Exercises: Python in 30 Days: Building an API

  1. Implement the above example and develop this

<< Day 28 | Day 30 >>

Tech G

Recent Posts

Python in 30 Days: Day 30- Conclusions

Day 30 Conclusions In the process of preparing this material, I have learned quite a…

10 months ago

Python in 30 Days: Day 28 – API

Day 28: Application Programming Interface (API) API API stands for Application Programming Interface. The kind…

10 months ago

Python in 30 Days: Day 27 – Python with MongoDB

Day 27: Python with MongoDB Python is a backend technology, and it can be connected…

10 months ago

Python in 30 Days: Day 26 – Python for web

Day 26: Python for Web Python is a general-purpose programming language, and it can be…

10 months ago

Python in 30 Days: Day 25 – Pandas

Day 25: Pandas Pandas is an open-source, high-performance, easy-to-use data structure, and data analysis tool…

10 months ago

Python in 30 Days: Day 24 – Statistics

Day 24 - Python for Statistical Analysis Statistics Statistics is the discipline that studies the collection, organization, displaying, analysing, interpretation and presentation…

10 months ago